py37-seaborn - Statistical data visualization

Property Value
Distribution NetBSD 8.0
Repository NetBSD amd64
Package filename py37-seaborn-0.9.0.tgz
Package name py37-seaborn
Package version 0.9.0
Package release -
Package architecture amd64
Package type tgz
Category graphics python
License modified-bsd
Maintainer -
Download size 343.53 KB
Installed size 2.38 MB
Seaborn is a library for making attractive and informative statistical graphics
in Python. It is built on top of matplotlib and tightly integrated with the
PyData stack, including support for numpy and pandas data structures and
statistical routines from scipy and statsmodels.
Some of the features that seaborn offers are
* Several built-in themes that improve on the default matplotlib aesthetics
* Tools for choosing color palettes to make beautiful plots that reveal
patterns in your data
* Functions for visualizing univariate and bivariate distributions or for
comparing them between subsets of data
* Tools that fit and visualize linear regression models for different kinds
of independent and dependent variables
* Functions that visualize matrices of data and use clustering algorithms to
discover structure in those matrices
* A function to plot statistical timeseries data with flexible estimation and
representation of uncertainty around the estimate
* High-level abstractions for structuring grids of plots that let you easily
build complex visualizations


Package Version Architecture Repository
py37-seaborn-0.9.0.tgz 0.9.0 i386 NetBSD
py37-seaborn - - -


Name Value
py37-matplotlib >= 1.4.3
py37-numpy >= 1.9.3
py37-pandas >= 0.15.2
py37-scipy >= 0.14.0
py37-setuptools >= 0.8
python37 >= 3.7.0


Type URL
Binary Package py37-seaborn-0.9.0.tgz
Source Package py37-seaborn

Install Howto

Install py37-seaborn tgz package:

# pkg_add py37-seaborn

See Also

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